As AI coding leaps from clever autocomplete to end-to-end planning, a fork of VS Code named Kiro asks whether specs should steer the work before a single line is written, promising faster delivery with fewer rewrites for teams drowning in drift. The question is not whether coding assistants are
Developers did not spend years refining instincts about naming, structure, and safeguards just to settle for AI that ships code which merely runs yet feels alien to the codebase it touches, and the growing push for taste-aware agents stems from the simple reality that correctness alone rarely
Enterprises spent the last cycle chasing model benchmarks, yet the most successful teams quietly shifted focus to the one lever that consistently moves real outcomes: engineering the context that models use to think, decide, and act in the flow of work. This roundup gathers perspectives from CIOs,
Across modern teams racing from idea to release in days, the quiet revolution in testing has been how artificial intelligence removes friction at the seams—between a code change and the test that proves it, between a design artifact and the UI it should guide, and between an engineer’s intention
Introduction The modern stack hums with automation and dashboards, yet many teams still confuse visible motion with actual progress, mistaking floods of commits and AI-amplified pull requests for meaningful advances in software quality or business results. This misunderstanding creates a costly
Setting the Stage for a New Era in AI and Cloud Computing In an era where artificial intelligence (AI) is reshaping industries at an unprecedented pace, a staggering $30 billion deal has emerged as a defining moment for the tech landscape, marking a significant shift in innovation. Anthropic, a
